title: Identification of altered MET network in oral cancer progression based on nonparametric network design.
abstract: Oral cancer is characterized by multiple genetic events such as alterations of a number of oncogenes and tumour suppressor genes. The aim of this study is to identify genes and their functional interactions that may play a crucial role on a specific disease-state, especially during oral cancer progression. We examine gene interaction networks on blood genomic data, obtained from twenty three oral cancer patients at four different time stages. We generate the gene-gene networks from sparse experimental temporal data using two methods, Partial Correlations and Kernel Density Estimation, in order to capture genetic interactions. The network study reveals an altered MET (hepatocyte growth factor receptor) network during oral cancer progression, which is further analyzed in relation to other studies.
authors.forename: K
authors.initials: K
authors.lastname: Kalantzaki
authors.forename: E S
authors.initials: ES
authors.lastname: Bei
authors.forename: K P
authors.initials: KP
authors.lastname: Exarchos
authors.forename: M
authors.initials: M
authors.lastname: Zervakis
authors.forename: D I
authors.initials: DI
authors.lastname: Fotiadis
authors.forename: M
authors.initials: M
authors.lastname: Garofalakis
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D001499:Bayes Theorem; D018450:Disease Progression; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D006801:Humans; D009062:Mouth Neoplasms / Q000097:blood / Q000378:metabolism / Q000473:pathology*; D019859:Proto-Oncogene Proteins c-met / Q000235:genetics* / Q000378:metabolism; D012372:ROC Curve; D018709:Statistics, Nonparametric
chemical_list: D019859:Proto-Oncogene Proteins c-met